Abstract: A semantic processing method includes the following steps of: segmenting an input sentence into a plurality of lexicons according to a lexicon database, wherein the lexicon table includes a plurality of table blocks, and the table blocks are respectively located at a plurality of levels of the lexicon table; referring one part of speech or a plurality of parts of speech, corresponding to one of the lexicons of the table blocks, in the lexicon database; performing at least one grammar rule for each of the table blocks of the levels according to the part of speech, the plurality of parts of speech, the part of speech sequence or the plurality of part of speech sequences corresponding to the table blocks of the lexicon table; and outputting a parse tree according to the table blocks in the lexicon table that conform to the at least one grammar rule.

Abstract: A semantic processing method includes the following steps of: segmenting an input sentence into a plurality of lexicons according to a lexicon database, wherein the lexicon table includes a plurality of table blocks, and the table blocks are respectively located at a plurality of levels of the lexicon table; referring one part of speech or a plurality of parts of speech, corresponding to one of the lexicons of the table blocks, in the lexicon database; performing at least one grammar rule for each of the table blocks of the levels according to the part of speech, the plurality of parts of speech, the part of speech sequence or the plurality of part of speech sequences corresponding to the table blocks of the lexicon table; and outputting a parse tree according to the table blocks in the lexicon table that conform to the at least one grammar rule.

Abstract: A speech synthesis method for an electronic system and a speech synthesis apparatus are provided. In the speech synthesis method, a speech signal file including text content is received. The speech signal file is analyzed to obtain prosodic information of the speech signal file. The text content and the corresponding prosodic information are automatically tagged to obtain a text tag file. A speech synthesis file is obtained by synthesizing a human voice profile and the text tag file.

Abstract: An image processing method applied to an image processing device, the image processing method includes following steps: receiving an original wide-angle image, pre-processing the original wide-angle image and capturing at least a region of interesting (ROI); executing anti-distorting processing on the ROI to generate a local correction image; and executing image processing on the local correction image. In the image processing method, parts of ROI of the original wide-angle image is captured, anti-distorting processing and image processing are executed, which significantly improves the image processing efficiency and reduces the time consumption instead of executing anti-distorting processing on the ROI directly.

Abstract: A Robot includes a main body, a Portable device and a supporting structure. The supporting structure is disposed at the main body for detachably connecting the Portable device. The Portable device reads digital media data from the main body or the Portable device itself, and plays the digital media data as video. After the Portable device is detached from the supporting structure, the main body and the Portable device operate independently.

Abstract: A method and a system for speech recognition are provided. In the method, vocal characteristics are captured from speech data and used to identify a speaker identification of the speech data. Next, a first acoustic model is used to recognize a speech in the speech data. According to the recognized speech and the speech data, a confidence score of the speech recognition is calculated and it is determined whether the confidence score is over a threshold. If the confidence score is over the threshold, the recognized speech and the speech data are collected, and the collected speech data is used for performing a speaker adaptation on a second acoustic model corresponding to the speaker identification.

Abstract: A speech synthesis method for an electronic system and a speech synthesis apparatus are provided. In the speech synthesis method, a speech signal file including text content is received. The speech signal file is analyzed to obtain prosodic information of the speech signal file. The text content and the corresponding prosodic information are automatically tagged to obtain a text tag file. A speech synthesis file is obtained by synthesizing a human voice profile and the text tag file.

Abstract: A Robot includes a main body, a Portable device and a supporting structure. The supporting structure is disposed at the main body for detachably connecting the Portable device. The Portable device reads digital media data from the main body or the Portable device itself, and plays the digital media data as video. After the Portable device is detached from the supporting structure, the main body and the Portable device operate independently.